Super Alignment

Extracted Attributes

• Definition

  The process of supervising, controlling, and governing artificial superintelligence systems to align them with human values and goals, preventing harmful and uncontrollable behavior.

• Primary Goal

  To ensure future superhuman AI models do what humans intend and do not act against human interests.

• Field of Study

  AI Safety, Machine Learning

• Founding Organization

  OpenAI

• Status of Superintelligent AI

  Does not yet exist, but research is being conducted on hypothetical future systems.

• Projected Timeline for Superintelligence

  Potentially within the next ten years

Timeline

• OpenAI announced the formation of the Superalignment team, co-led by Ilia Sutskever and Jan Leike, with the goal of solving the technical problem of aligning superintelligent AI systems. (Source: web_search_results)

  2023-07-26

• The Super Alignment team, including its leaders Ilia Sutskever and Yan Leike, resigned from OpenAI, raising concerns about the company's dedication to AI safety. (Source: related_documents)

  2024-05

List of Super Bowl champions

The Super Bowl is the annual American football game that determines the champion of the National Football League (NFL). The game culminates a season that begins in the previous calendar year, and is the conclusion of the NFL playoffs. The winner receives the Vince Lombardi Trophy. The contest is held in an American city, chosen three to four years beforehand, usually at warm-weather sites or domed stadiums. Since January 1971, the winner of the American Football Conference (AFC) Championship Game has faced the winner of the National Football Conference (NFC) Championship Game in the culmination of the NFL playoffs. Before the 1970 merger between the American Football League (AFL) and the National Football League (NFL), the two leagues met in four such contests. The first two were marketed as the "AFL–NFL World Championship Game", but were also casually referred to as "the Super Bowl game" during the television broadcast. Super Bowl III in January 1969 was the first such game that carried the "Super Bowl" moniker in official marketing; the names "Super Bowl I" and "Super Bowl II" were retroactively applied to the first two games. A total of 20 franchises, including teams that have relocated to another city or changed their name, have won the Super Bowl. There are four NFL teams that have never appeared in a Super Bowl: the Cleveland Browns, Detroit Lions, Jacksonville Jaguars, and Houston Texans, though both the Browns (1950, 1954, 1955, 1964) and Lions (1935, 1952, 1953, 1957) had won NFL Championship Games prior to the creation of the Super Bowl in the 1966 season. The 1972 Dolphins capped off the only perfect season in NFL history with their victory in Super Bowl VII. Only two franchises have ever won the Super Bowl while hosting at their home stadiums: the Tampa Bay Buccaneers in Super Bowl LV and the Los Angeles Rams in Super Bowl LVI.

Web Search Results

• What Is Superalignment? | IBM

  Artificial Intelligence # What is superalignment? ## Authors Alexandra Jonker Staff Editor IBM Think Amanda McGrath Staff Writer IBM Think ## What is superalignment? #### Superalignment is the process of supervising, controlling and governing artificial superintelligence systems. Aligning advanced AI systems with human values and goals can help prevent them from exhibiting harmful and uncontrollable behavior. [...] Further down the alignment pipeline sits automated alignment research. This superalignment technique uses already aligned superhuman AI systems to perform automated alignment research. These “AI researchers” would be faster and smarter than human researchers. With these advantages, they could potentially devise new superalignment techniques. Instead of directly developing and implementing the technical alignment research, human researchers would instead review the generated research. [...] As humans, we are not able to reliably supervise AI systems that are smarter than us. Scalable oversight is a scalable training method where humans could use weaker AI systems to help align more complex AI systems. Research to test and expand this technique is limited—because superintelligent AI systems do not yet exist. However, researchers at Anthropic (an AI safety and research company) have performed a proof-of-concept experiment.

• OpenAI Introducing Super alignment | Way for Safe and ...

  The new Superalignment team’s efforts complement those of OpenAI to make existing models like ChatGPT safer. The various concerns that AI poses, such as abuse, economic disruption, misinformation, bias, discrimination, addiction, and overreliance, are also a focus of OpenAI. They collaborate with multidisciplinary professionals to make sure that their technical solutions address bigger societal and human issues. [...] OpenAI Introducing Super alignment development offers enormous promise for humanity. It has the ability to address some of the most pressing issues facing our globe thanks to its extensive capabilities. The possible disempowerment or even annihilation of humanity is one of the serious hazards associated with the emergence of superintelligence. ## The Arrival of Super Alignment [...] Super alignment might seem like a far-off possibility, yet it might materialise within the next ten years. We must create new governance structures and deal with the problem of superintelligence alignment in order to control the hazards associated with them efficiently. ## AI and Human Super Alignment: The Current Challenge

• Now we know what OpenAI's superalignment team has ...

  The question the team wants to answer is how to rein in, or “align,” hypothetical future models that are far smarter than we are, known as superhuman models. Alignment means making sure a model does what you want it to do and does not do what you don’t want it to do. Superalignment applies this idea to superhuman models. [...] OpenAI has announced the first results from its superalignment team, the firm’s in-house initiative dedicated to preventing a superintelligence—a hypothetical future computer that can outsmart humans—from going rogue. [...] In July, Sutskever and fellow OpenAI scientist Jan Leike set up the superalignment team to address those challenges. “I’m doing it for my own self-interest,” Sutskever told MIT Technology Review in September. “It’s obviously important that any superintelligence anyone builds does not go rogue. Obviously.”

• Introducing Superalignment

  #### Join us Superintelligence alignment is one of the most important unsolved technical problems of our time. We need the world’s best minds to solve this problem. If you’ve been successful in machine learning, but you haven’t worked on alignment before, this is your time to make the switch! We believe this is a tractable machine learning problem, and you could make enormous contributions. [...] We’re also looking for outstanding new researchers and engineers to join this effort. Superintelligence alignment is fundamentally a machine learning problem, and we think great machine learning experts—even if they’re not already working on alignment—will be critical to solving it. We plan to share the fruits of this effort broadly and view contributing to alignment and safety of non-OpenAI models as an important part of our work. [...] This new team’s work is in addition to existing work at OpenAI aimed at improving the safety of current models⁠ like ChatGPT, as well as understanding and mitigating other risks from AI such as misuse, economic disruption, disinformation, bias and discrimination, addiction and overreliance, and others. While this new team will focus on the machine learning challenges of aligning superintelligent AI systems with human intent, there are related sociotechnical problems on which we are actively

• IIIc. Superalignment

  Skip to content # IIIc. Superalignment Reliably controlling AI systems much smarter than we are is an unsolved technical problem. And while it is a solvable problem, things could very easily go off the rails during a rapid intelligence explosion. Managing this will be extremely tense; failure could easily be catastrophic. In this piece: Toggle [...] The superalignment problem being unsolved means that we simply won’t have the ability to ensure even these basic side constraints for these superintelligence systems, like “will they reliably follow my instructions?” or “will they honestly answer my questions?” or “will they not deceive humans?”. People often associate alignment with some complicated questions about human values, or jump to political controversies, but deciding on what behaviors and values to instill in the model, while [...] I am optimistic that superalignment is a solvable technical problem. Just like we developed RLHF, so we can develop the successor to RLHF for superhuman systems and do the science that gives us high confidence in our methods. If things continue to progress iteratively, if we insist on rigorous safety testing and so on, it should all be doable (and I’ll discuss my current best-guess of how we’ll muddle through more in a bit).